Scientific Grounding Sources ​

This registry compiles the external scientific literature, preprints, and official document sources referenced across this site. These citations provide adjacent domain context and orientation for the authorial Science of Fabric Reality (SFR) program.

Core Wording and Validation Boundary

All citations in this registry are listed for scientific orientation and domain adjacency. Their inclusion does not imply external validation, peer review, or endorsement of the authorial SFR / DFT / GILC / NMF frameworks unless explicitly stated.

Central Source Registry ​

1. Artificial intelligence for quantum computing (2025) ​

  • Authors/Institution: Yuri Alexeev, Marwa H. Farag, Taylor L. Patti, Mark E. Wolf, Natalia Ares, Alan Aspuru-Guzik, et al.
  • Year: 2025 (December 2)
  • Source Type: Peer-reviewed Review
  • Journal: Nature Communications (Volume 16, Article 10829)
  • Source URL: https://www.nature.com/articles/s41467-025-65836-3
  • Domain Relevance: AI for quantum computing compilation, automated calibration, and error correction (QEC).
  • Site Placement: CodexStation, KBI, Recursive Intelligence.
  • Boundary Note: Context only. Details deep learning strategies for physical system calibration, not validating authorial quantum-reality claims.

2. Towards Verifiable and Self-Correcting AI Physicists for Quantum Many-Body Simulations (2026) ​

  • Authors/Institution: Ken Deng, Di Luo, et al. / MIT & Harvard University
  • Year: 2026
  • Source Type: Academic Preprint
  • Archive: arXiv:2601.07452
  • Source URL: https://arxiv.org/abs/2601.07452
  • Domain Relevance: Verifiable AI scientists, multi-agent validation frameworks, and automated error-correcting codes in physical simulations.
  • Site Placement: Recursive Intelligence, KBI, Proofs Index.
  • Boundary Note: Preprint status. Documents multi-agent software checks on physics simulations, not formal validation of SFR axioms.

3. Q-ST: A Comprehensive Review of Quantum Software and Technologies (2026) ​

  • Authors/Institution: Springer Editorial / Collaborative Research Consortium
  • Year: 2026
  • Source Type: Peer-reviewed Review
  • Journal: Archives of Computational Methods in Engineering (DOI: 10.1007/s11831-026-10615-6)
  • Source URL: https://doi.org/10.1007/s11831-026-10615-6
  • Domain Relevance: Quantum software engineering, deployment modularity, service-oriented quantum computing, and edge/HPC integration.
  • Site Placement: Digital Fabrica Theory, Universal Mesh, CodexStation.
  • Boundary Note: Contextual engineering review. Supports architectural parallels in distributed sovereign runtimes, not physical claims.

4. A Review of Formal Methods in Quantum-Circuit Verification (2026) ​

  • Authors/Institution: Arun Govindankutty
  • Year: 2026 (March 9)
  • Source Type: Peer-reviewed Review
  • Journal: Electronics (MDPI) (Volume 15, Issue 5, Article 1125)
  • Source URL: https://doi.org/10.3390/electronics15051125
  • Domain Relevance: Formal verification methods (barrier certificates, model checking, abstract interpretation, theorem proving) applied to quantum circuit state spaces.
  • Site Placement: Invariant Engineering, Proofs Index, KBI.
  • Boundary Note: Adjacent method family. Relates formal mathematical bounds to verification workflows.

5. Artificial Intelligence in Science: Adoption and Effects Across Scientific Fields (2026) ​

  • Authors/Institution: Innovation and Diffusion Consortium / ScienceDirect
  • Year: 2026
  • Source Type: Peer-reviewed Empirical Study
  • Journal: Research Policy (Volume 55, Article 105124)
  • Source URL: https://doi.org/10.1016/j.respol.2026.105124
  • Domain Relevance: Empirical metrics of AI adoption, augmentative vs. automated workflows, and research productivity diffusion across scientific domains.
  • Site Placement: KBI, Start Here, global landing indices.
  • Boundary Note: Contextual policy research. Explores the sociological and computational acceleration of scientific discoveries.

6. Scientific discovery in the age of artificial intelligence (2023) ​

  • Authors/Institution: Hannes Wang, et al. / Broad Institute of MIT and Harvard
  • Year: 2023 (August 2)
  • Source Type: Peer-reviewed Review
  • Journal: Nature (Volume 620, Pages 47-60)
  • Source URL: https://www.nature.com/articles/s41586-023-06222-z
  • Domain Relevance: AI foundations (geometric deep learning, generative design, self-supervised learning) as accelerators for hypothesis generation and physical modeling.
  • Site Placement: Recursive Intelligence, KBI, Start Here.
  • Boundary Note: Contextual paradigm mapping. Illustrates the shift toward algorithmic scientific discovery.

7. VitePress Official Documentation — Sitemap Generation (2026) ​

  • Authors/Institution: VitePress / Vuejs Core Team
  • Year: 2026
  • Source Type: Official Technical Documentation
  • Source URL: https://vitepress.dev/guide/sitemap-generation
  • Domain Relevance: Crawlability, static metadata compilation, and search visibility optimization for structural documentation webs.
  • Site Placement: Start Here, Scientific Grounding Overview.
  • Boundary Note: Strictly technical implementation framework, not scientific reality validation.